Text Classification
Transformers
ONNX
Safetensors
English
Hindi
multilingual
query-classification
intent-detection
memory-scope
modernbert
quantized
Instructions to use addyo07/query-scope-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addyo07/query-scope-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addyo07/query-scope-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("addyo07/query-scope-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model/onnx/model_quantized.onnx from addyo07/query-scope-classifier: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/addyo07/query-scope-classifier/resolve/main/model/onnx/model_quantized.onnx
- Command line
-
hf download hf://addyo07/query-scope-classifier/model/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/addyo07/query-scope-classifier/resolve/main/model/onnx/model_quantized.onnx
151 MB
- Xet hash:
- a5ed913820ff66264e24d5f67e54cba17801a8ba2c46f3a0d5f27515a13fce19
- Size of remote file:
- 151 MB
- SHA256:
- 2a24244f282966ded439a9e1c669d739b3fcbdebd52adeada642b4d364e9ffd8
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